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Numerical simulation unsteady cloud cavitating flow with a filter-based density correction model

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Abstract

In this paper, various turbulence closure models for unsteady cavitating flows are investigated. The filter-based model (FBM) and the density correction model (DCM) were proposed to reduce the turbulent eddy viscosities in a turbulent cavitating flow based on the local meshing resolution and the local fluid density, respectively. The effects of the resolution control parameters in the FBM and DCM models are discussed. It is shown that the eddy viscosity near the cavity closure region can significantly influence the cavity shapes and the unsteady shedding pattern of the cavitating flows. To improve the predictions, a Filter-Based Density Correction model (FBDCM) is proposed, which blends the FBM and DCM models according to the local fluid density. The new FBDCM model can effectively represent the eddy viscosity, according to the multi-phase characteristics of the unsteady cavitating flows. The experimental validations regarding the force analysis and the unsteady cavity visualization show that good agreements with experimental visualizations and measurements are obtained by the FBDCM model. For the FBDCM model, the attached cavity length and the resulting hydrodynamic characteristics are subsequently affected by the detail turbulence modeling parameters, and the model is shown to be effective in improving the overall predictive capability.

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References

  1. WANG G., SENOCAK, I. and SHYY W. Dynamics of attached turbulent cavitating flows[J]. Progress in Aerospace Sciences, 2001, 37(6): 551–581.

    Article  Google Scholar 

  2. KUNZ R. F., BOGER D. A. and STINEBRING D. R. et al. A preconditioned Navier-stokes method for two phase flows with application to cavitation prediction[J]. Computers and Fluids, 2000, 29(8): 849–875.

    Article  Google Scholar 

  3. LACALLENAERE M., FRANC J. P. and MICHEL J. M. et al. The cavitation instability induced by the development of a re-entrant jet[J]. Journal of Fluid Mechanics, 2001, 444: 223–256.

    MATH  Google Scholar 

  4. COUTIER-DELGOSHA O., FORTES-PATELLA R. and REBOUD J. L. Evaluation of the turbulence model influence on the numerical simulations of unsteady cavitation[J]. Journal of Fluids Engineering, 2003, 125(1): 38–45.

    Article  Google Scholar 

  5. WANG G., OSTOJA-STARZEWSKI M. Large eddy simulation of a sheet/cloud cavitation on a NACA0015 hydrofoil[J]. Applied Mathematical Modelling, 2007, 31(3): 417–447.

    Article  Google Scholar 

  6. HUANG Biao, WANG Guo-yu and YU Zhi-yi et al. Detached-eddy simulation for time-dependent turbulent cavitating flows[J]. Chinese Journal of Mechanical Engineering, 2012, 25(3): 484–490.

    Article  Google Scholar 

  7. JOHANSEN S. T., WU J. and SHYY W. Filter-based unsteady RANS computations[J]. International Journal of Heat and fluid flow, 2004, 25(1): 10–21.

    Article  Google Scholar 

  8. WU J., WANG G. and SHYY W. Time-dependent turbulent cavitating flow computations with interfacial transport and filter based models[J]. International Journal for Numerical Methods for Fluids, 2005, 49(7): 739–761.

    Article  Google Scholar 

  9. KIM S., BREWTON S. A multiphase approach to turbulent cavitating flows[C]. Proceedings of 27th Symposium on Naval Hydrodynamics. Seoul, Korea, 2008.

  10. WANG G., ZHANG B. and HUANG B. et al. Unsteady dynamics of cloudy cavitating flows around a hydrofoil[C]. Proceedings of the 7th International Symposium on Cavitation. Ann Arbor, Michigan, USA, 2009.

    Google Scholar 

  11. LEROUX J. B., ASTOLFI J. A. and BILLARD J. Y. An experimental study of unsteady partial cavitation[J]. Journal of Fluids Engineering, 2004, 126(1): 94–101.

    Article  Google Scholar 

  12. GOPALAN S., KATE J. Flow structure and modeling issues in the closure region of attached cavitation[J]. Physics of Fluids, 2000, 12(4): 895–911.

    Article  Google Scholar 

  13. SHYY W., CHO Y.-C. and DU W. et al. Surrogatebased modeling and dimension reduction techniques for multi-scale mechanics problems[J]. Acta Mechanica Sinica, 2011, 27(6): 845–865.

    Article  Google Scholar 

  14. GOEL T., HAFTKA R. T. and SHYY W. et al. Ensemble of surrogates[J]. Journal of Structural and Multidisciplinary Optimization, 2007, 33(3): 199–216.

    Article  Google Scholar 

  15. GOEL T., VAIDYANATHAN R. and HAFTKA R. T. et al. Response surface approximation of pareto optimal front in multi-objective optimization[J]. Computer Methods in Applied Mechanics and Engineering, 2007, 196(4): 879–893.

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Mechanics and Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Biao Huang  (黄彪), Guo-yu Wang  (王国玉) & Yu Zhao  (赵宇)

Authors
  1. Biao Huang  (黄彪)
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  2. Guo-yu Wang  (王国玉)
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  3. Yu Zhao  (赵宇)
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Corresponding author

Correspondence to Guo-yu Wang  (王国玉).

Additional information

Project support by the National Natural Science Foundation of China (Grant Nos. 11172040, 51306020).

Biography: Huang Biao (1985-), Male, Ph. D., Lecturer

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Huang, B., Wang, Gy. & Zhao, Y. Numerical simulation unsteady cloud cavitating flow with a filter-based density correction model. J Hydrodyn 26, 26–36 (2014). https://doi.org/10.1016/S1001-6058(14)60004-4

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  • DOI: https://doi.org/10.1016/S1001-6058(14)60004-4

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